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相关概念视频

Hazard Rate01:11

Hazard Rate

116
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

52
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
52
Hazard Ratio01:12

Hazard Ratio

137
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
137
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

133
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
133
Relative Risk01:12

Relative Risk

191
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
191
Causality in Epidemiology01:21

Causality in Epidemiology

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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相关实验视频

Updated: Jul 13, 2025

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事故情景演变下的风险合分析:一个方法论构造和应用.

Jianting Yao1,2, Boling Zhang1, Dongdong Wang1

  • 1School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China.

Risk analysis : an official publication of the Society for Risk Analysis
|October 18, 2023
PubMed
概括

本研究引入了一个新的框架,用于分析动态情景中的合风险,重点是数字化和客观量化. 它有助于识别关键的风险因素,并了解事故演变,以防止级联故障.

关键词:
社区消防社区的火灾风险合 风险合场景演变演变的情景演变

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科学领域:

  • 风险分析 风险分析
  • 系统工程是系统工程.
  • 数据挖掘是一种数据挖掘.

背景情况:

  • 动态过程往往涉及相互关联的风险,但当前的分析方法忽视了这些合效应.
  • 需要一种全面的风险合方法,包括数字化和客观量化.

研究的目的:

  • 为分析动态情景中的风险合提出一个综合框架.
  • 通过整合全过程分析来解决现有研究的局限性.

主要方法:

  • 采用加权Eclat算法用于采矿风险关联规则.
  • 使用社交网络分析来确定关键的风险因素.
  • 应用随机培养网用于构建,模拟和演变事故场景.

主要成果:

  • 开发了一种通用框架,用于以过程为导向的分析事故场景演变的过程.
  • 通过专注于关键因素和打破事故链条,证明了分离风险的能力.
  • 通过对中国城市社区的火灾风险的应用来验证该框架的可行性和科学有效性.

结论:

  • 拟议的框架为理解和管理复杂动态系统中的合风险提供了一种新的方法.
  • 通过以过程为导向的分析和关键因素的识别,可以实现有效的风险脱和事故链中断.